Image Denoising Method with Improved Threshold Function
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0903-8_19
Reference9 articles.
1. Wang, X., Wu, Y., Ming, Y., et al.: Remote sensing imagery super resolution based on adaptive multi-scale feature fusion network. Sensors 20(4), 1142 (2020)
2. Qi, B., Shi, H., Zhuang, Y., et al.: On-board, real-time preprocessing system for optical remote-sensing imagery. Sensors 18(5), 1328 (2018)
3. Ma, S., Li, L., Zhang, C.: Adaptive image denoising method based on diffusion equation and deep learning. J. Robot. 1–9 (2022)
4. Wang, R., Cai, W., Wang, Z.: A new method of denoising crop image based on improved SVD in wavelet domain. Secur. Commun. Netw. 1–11 (2021)
5. Wang, Y., Xu, C., Wang, Y., et al.: A comprehensive diagnosis method of rolling bearing fault based on CEEMDAN-DFA-improved wavelet threshold function and QPSO-MPE-SVM. Entropy 23(9), 1142 (2021)
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